Batch Endpoint Prediction using Local Mixture of Batch Time Experts-Reference-Cited by-同舟云学术

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Batch Endpoint Prediction using Local Mixture of Batch Time Experts

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
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Author:

Souza Francisco¹,Offermans Tim¹,Jansen Jeroen¹

Affiliation:

1. Radboud University Institute for Molecules and Materials (IMM),Department of Analytical Chemistry & Chemometrics Heyendaalseweg 135,Nijmegen,AJ,The Netherlands,6525

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967672.pdf?arnumber=9967672

Reference12 articles.

1. Modelling and diagnostics of batch processes and analogous kinetic experiments

2. Real-time monitoring of an industrial batch process

3. Data-based modelling for predicting the completion time of batch processes

4. MVBatch: A matlab toolbox for batch process modeling and monitoring

5. Prediction and uncertainty propagation for completion time of batch processes based on data-driven modeling;zhou;Industrial & Engineering Chemistry Research,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gray‐Box Modeling of the Molecular Weight Distribution in a Batch Polymerization Reactor;Chemie Ingenieur Technik;2023-05-16

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